Mingzi Tan

27 papers and 597 indexed citations i.

About

Mingzi Tan is a scholar working on Molecular Biology, Oncology and Reproductive Medicine. According to data from OpenAlex, Mingzi Tan has authored 27 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 7 papers in Oncology and 7 papers in Reproductive Medicine. Recurrent topics in Mingzi Tan’s work include Ovarian cancer diagnosis and treatment (7 papers), Galectins and Cancer Biology (3 papers) and Glycosylation and Glycoproteins Research (3 papers). Mingzi Tan is often cited by papers focused on Ovarian cancer diagnosis and treatment (7 papers), Galectins and Cancer Biology (3 papers) and Glycosylation and Glycoproteins Research (3 papers). Mingzi Tan collaborates with scholars based in China, United States and Germany. Mingzi Tan's co-authors include Bei Lin, Juanjuan Liu, Liancheng Zhu, Zhenhua Hu, Huiyu Zhuang, Jian Gao, Dawo Liu, Mingbo Cai, Yingying Hao and Huimin Wang and has published in prestigious journals such as International Journal of Molecular Sciences, BMJ and Molecular Cancer.

In The Last Decade

Co-authorship network of co-authors of Mingzi Tan i

Fields of papers citing papers by Mingzi Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mingzi Tan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mingzi Tan. The network helps show where Mingzi Tan may publish in the future.

Countries citing papers authored by Mingzi Tan

Since Specialization
Citations

This map shows the geographic impact of Mingzi Tan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mingzi Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingzi Tan more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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